The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class material from courses of the statistics department at the University of California in Berkeley but also influenced by other sources .
Content
- Distribution Overview
- Probability Theory
- Random Variables
- Expectation
- Variance
- Inequalities
- Distribution Relationships
- Probability and Moment Generating Functions
- Multivariate Distributions
- Convergence
- Statistical Inference
- Parametric Inference
- Hypothesis Testing
- Bayesian Inference
- Exponential Family
- Sampling Methods
- Decision Theory
- Linear Regression
- Non-parametric Function Estimation
- Stochastic Processes
- Time Series
- Math
For a detailed table of content and to access the book, click here.
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